1799 results about "Raw water" patented technology

The invention discloses an integrated process for cooperative treatment and up-to-standard discharge of industrial wastewater and domestic wastewater of a power plant, and relates to the field of cooperative treatment of wastewater and sewage, and the integrated process comprises the following steps: configuring a raw water collection system, setting a raw water source, configuring a multi-stage filtration and heating pretreatment process, configuring an ultrafiltration membrane system, and setting a fine filtration path. A first-stage reverse osmosis system is configured, reverse osmosis parameters are set, a second-stage reverse osmosis system is configured, a low-conductivity water treatment path is set, a mixed ion exchanger is configured, a desalted water output path is set, a standby pool body is set, and the adjusting capacity is set. A raw water collecting system, a multi-stage filtering and heating pretreatment process, an ultrafiltration membrane system, a first-stage reverse osmosis system, a second-stage reverse osmosis system, a mixed ion exchanger and a standby pool body are sequentially arranged in the process. The problems of unstable effluent quality, insufficient deep desalination capability and poor emergency regulation capability in a traditional power plant wastewater treatment mode can be effectively solved.

The invention discloses a sewage treatment drug delivery control method based on reinforcement learning and particle swarm optimization, and the method achieves the precise control of turbidity and the optimization of drug cost through the dynamic adjustment of particle swarm parameters and the fusion of a reinforcement learning strategy. According to the technical scheme, the method comprises the following steps: combining a PSO algorithm with a DDPG algorithm to construct a drug control model; designing a reward function; the empirical data with the state coverage rate higher than a first preset threshold value are stored in a full-reservation empirical pool, the empirical data with the current policy access larger than a second preset threshold value are reserved in a first-in first-out mode through a policy empirical pool, and mixed sampling is carried out according to a preset proportion; training a drug control model; and inputting the current turbidity value, the drug delivery amount of the last time step, the water inlet flow, the parameters of the water quality detection camera and the future turbidity value into a trained drug control model, and outputting the current drug delivery amount. Through prediction-control closed-loop integration, a raw water turbidity prediction result is fed back to the optimizer, and the method is suitable for real-time adaptive control of a sewage treatment system.

The invention discloses a nickel-containing etching wastewater treatment process, which belongs to the technical field of environmental protection, and comprises a raw water regulating tank, a pH pre-regulating tank, a heterogeneous catalytic oxidation tower, a neutralization coagulation tank, an inclined tube sedimentation tank and a clean water tank which are connected in sequence. According to the process, under the neutral condition, a catalyst loaded with cobalt manganese oxide is used for activating sodium hydrogen persulfate, high-activity sulfate free radicals are generated, a Ni-EDTA complex structure is fractured in a targeted mode, free nickel ions are released in situ, organic ligands are synchronously mineralized, and the adding amount of sodium hydrogen persulfate is dynamically adjusted through a clean water pool closed-loop control system; and high-purity nickel hydroxide precipitate is generated through alkaline precipitation and coagulation, so that efficient solid-liquid separation is realized. The treatment process disclosed by the invention is compact in flow and stable in operation, effectively solves the problems of difficult complex breaking, low nickel removal efficiency, high sludge toxicity, difficult resource recovery and the like when the EDTA complex nickel wastewater is treated by a traditional method, realizes closed-loop recovery of nickel resources, and has the remarkable advantages of low cost, high efficiency and environmental friendliness.

The invention provides an intelligent chemical adding control method and system, equipment and a storage medium, and belongs to the technical field of intelligent control, the method is applied to a water treatment system, and the method comprises the following steps: based on raw water data, obtaining a first chemical adding amount through a chemical adding amount prediction model; generating an initial dosing amount instruction based on the first dosing amount, and sending the initial dosing amount instruction to a polyaluminum chloride dosing device and a sodium hypochlorite dosing device; obtaining the raw water ion concentration, alumen ustum form data and a floating current value after chemical adding, calculating a first difference value between the raw water ion concentration and a target ion concentration, calculating a second difference value between the alumen ustum form data and target alumen ustum form data, and calculating a third difference value between the floating current value and a target floating current value; and determining a target correction coefficient based on the first difference value, the second difference value and the third difference value, and updating the first dosage based on the target correction coefficient to obtain a second dosage. According to the invention, the dosing precision and adaptability can be improved.

The invention discloses an AI-based raw water pretreatment dosing intelligent control system and method, and relates to the technical field of artificial intelligence, and the system comprises a sensor layer, an edge calculation layer, a cloud platform layer and an execution layer. The sensor layer consists of a distributed sensor network, comprises a turbidity meter, a pH electrode, an electromagnetic flowmeter, a COD (Chemical Oxygen Demand) online monitor and a distributed optical fiber temperature measuring device, covers a raw water inlet, a mixing tank and a sedimentation tank node, and transmits a signal to the edge calculation layer through an RS485 bus. According to the raw water pretreatment dosing intelligent control system and method provided by the invention, through multi-modal data fusion and a dynamic prediction model, the water quality of raw water is accurately sensed and predicted, the dosing amount is adjusted in advance, the hysteresis of a coagulation reaction is effectively compensated, the standard reaching rate of the water quality is improved, and by utilizing an NSGA-II multi-target optimization algorithm, the quality of the raw water is effectively improved. The medicament cost and the treatment effect are balanced, excessive dosing of medicaments in a traditional mode is avoided, and the operation cost is reduced.

The invention discloses a regulation and control method for stably improving the water quality of water produced by a reverse osmosis system of a power plant, and relates to the field of water quality regulation and control, which comprises the following steps: configuring a water inlet flow regulation device, performing initial setting, configuring the position of an online sensor, performing data acquisition, setting judgment rules of turbidity, differential pressure and transmembrane pressure difference, and determining the water quality. And configuring a flocculant adding device and adding control logic, configuring a backwashing and adding linkage control state machine, and carrying out data smoothing, trend analysis and self-adaptive threshold adjustment. When the water quality of the raw water fluctuates for a short time or the pollution load is increased, dynamically adjusting the water inlet flow, the backwashing intensity and the flocculant adding concentration based on parameters such as turbidity, pollution index, conductivity and pressure difference which are acquired by an online sensor in real time; and meanwhile, the concentrated water reflux proportion and the high-pressure pump frequency are automatically corrected by continuously calculating the desalting rates of the first-stage and second-stage reverse osmosis devices, so that the running state of the membrane component is kept in an optimal interval.

The invention relates to the technical field of ammonia water preparation, in particular to a raw water reverse osmosis treatment device for ammonia water preparation, which comprises a shell, the shell is formed by fixing an upper shell and a lower shell, a water inlet pipe is fixed in the middle of the top of the shell, a high-pressure water inlet component is arranged at the top of the water inlet pipe, and a concentrated water outlet pipe is fixed in the middle of the bottom of the shell. A drain valve is fixedly mounted at the bottom of the concentrated water outlet pipe; and the water pressure stabilizing assembly is arranged at the top of the inner wall of the shell. A multi-level pressure regulation and control mechanism is constructed in the reverse osmosis process, the problem of instantaneous pressure impact when the high-pressure pump is started is solved, physical damage to the membrane is avoided, a dual anti-blocking system of active rotary cleaning and back flushing is constructed, the membrane blocking probability is greatly reduced, meanwhile, the impact force of water flow is fully weakened in the back flushing stage, and the reverse osmosis efficiency is improved. It is ensured that the reverse osmosis membrane bears stable pressure all the time, and the problem of secondary damage to the reverse osmosis membrane caused by too large instantaneous pressure in the backwashing stage is avoided.

The invention relates to the field of water treatment intelligent dosing control, and provides an intelligent dosing control method and system based on multi-source data fusion and time sequence prediction.The method comprises the steps that a raw water working condition, colloid electrical property balance and floc form attribute set are extracted, and the basic dosing matching amount is determined; obtaining a dynamic delay constant according to the volume of the sedimentation tank and an instantaneous flow value, and generating a causal mapping sample set by combining the three types of attribute sets and effluent turbidity signals of the sedimentation tank; generating a dynamic weight factor sequence according to the causal mapping sample set, and performing point-by-point inner product on the causal mapping sample set to generate a process condition sensitive feature set; and generating a predicted effluent turbidity value based on the process working condition sensitive feature set, performing reverse game optimization through the effluent target turbidity, generating an agent supplementing correction increment, and performing amplitude limiting truncation in combination with the basic agent adding proportioning amount to generate an agent adding control instruction. According to the invention, multi-source heterogeneous working condition sensing features and space-time causal alignment logic are fused, and an intelligent dosing decision and feedback compensation closed-loop mechanism is constructed.

The invention relates to the field of direct drinking water of a fusion calculation model, and discloses a double-membrane mixing direct drinking water system and an operation method.The method comprises the steps that online data of a water supply end and a water quality monitoring end are collected for cleaning and time alignment, and a basic working condition data set is formed; the method comprises the following steps: establishing an operation characteristic model comprising water demand prediction, raw water quality prediction and membrane flux characteristic sub-models, calculating double-membrane target water yield and water quality indexes based on the model to generate a control parameter set, evaluating membrane pollution to generate an online cleaning task queue, performing joint simulation to generate a pressure stability control instruction set, and dynamically correcting the model. The conversion from passive response to active pre-judgment of the double-membrane mixing direct drinking water system is realized, and the operation stability, the water quality guarantee capability and the water-saving and energy-saving effects are improved.

The invention discloses a method and system for removing algae pollutants in water, and relates to the technical field of water treatment and environmental protection, and the method comprises the following steps: obtaining algae floc characteristic parameters of target raw water, and determining an adaptive interval of floc and bubble attachment; coupling the adaptive interval with the real-time hydrolysis state of the flocculating agent, constructing a nonlinear mapping relation based on phase matching of hydrolysis hysteresis characteristics and floc bubble capturing gain response, and generating an adjustable control instruction; the dissolved air pressure and the micropore aeration intensity are dynamically adjusted according to the adjustable control instruction, so that the bubble particle size is matched with the floc structure; and mixing the matched micro-nano bubbles with the floc to generate a stable scum layer and complete solid-liquid separation. According to the method, the floc characteristics are obtained in real time, and the parameters of the air flotation system are dynamically adjusted, so that bubbles are matched with the floc to form a stable scum layer, solid-liquid separation is efficiently completed, and the problems of unstable scum and low separation efficiency of a traditional air flotation method are solved.

The utility model relates to a wall-mounted water purifier and a water path system used for the same. The water path system comprises a water inlet electromagnetic valve, at least two booster pumps and at least two reverse osmosis filter elements, the water inlet electromagnetic valve is connected to the raw water inlet end, pure water outlets of the reverse osmosis filter elements are connected to the pure water outlet end, and the reverse osmosis filter elements and the booster pumps are arranged between the water inlet electromagnetic valve and the pure water outlet end in parallel; each booster pump is correspondingly connected to each reverse osmosis filter element; the bypass unit comprises a bypass pipeline and a bypass switch, the bypass water inlet end of the bypass pipeline is connected between the raw water inlet end and the water inlet electromagnetic valve, and the bypass water outlet end of the bypass pipeline is connected between the reverse osmosis filter element and the pure water outlet end; the bypass switch is installed on the bypass pipeline and used for controlling connection or disconnection of the bypass water inlet end and the bypass water outlet end. Through the arrangement of the bypass unit, the at least two reverse osmosis filter elements and the booster pump, the requirements of normal water use, emergency water use and large-flow water use of a user are met.

The application discloses a bipolar membrane electrodialysis device, which comprises an outer box body and further comprises a liquid inlet mechanism, a plurality of electrodialysis mechanisms and a plurality of filtering mechanisms. The filtering mechanism comprises a filtering box, a driving filtering assembly and a liquid feeding assembly. The driving filtering assembly comprises a motor installed on the top of the filtering box, the output shaft of the motor is fixedly connected with a threaded rod, the outer periphery of the threaded rod is threadedly connected with a filtering plate slidingly connected to the inner wall of the filtering box, and the bottom inner wall of the filtering box is fixedly connected with a plurality of plug rods matched with filtering holes of the filtering plate. Raw water is delivered to the inside of the filtering box through the liquid inlet mechanism, is actively filtered without turbulence through the driving filtering assembly, is delivered to the corresponding electrodialysis mechanism through the liquid feeding assembly and is further subjected to electrodialysis treatment. The filtering plate and other components are arranged to filter out the solid impurities mixed in industrial glucose acid salt, so that the bipolar membrane electrodialysis process and the bipolar membrane body are not affected.

The utility model discloses a semi-automatic backwashing laminated filter. The external structure of the semi-automatic backwashing laminated filter comprises a handle, a filter base body, a water inlet, a water outlet, a laminated shell, a blow-down valve, a blockage indicator, a filter screen flushing valve and the like, the internal structure comprises a flow direction selector, a butterfly check valve, a laminated filter element, a rotational flow centrifugal disc, a laminated compression inner cover, a laminated compression outer cover, a spring between the laminated compression inner cover and the laminated compression outer cover and the like. The channel position of the flow direction selector is switched by rotating the handle, so that the switching between the filtering mode and the backwashing mode is realized. In a filtering mode, muddy water flows into a raw water cavity outside the lamination after being accelerated by the rotational flow centrifugal disc, impurities are intercepted, and clear water flows into a downstream pipeline; and in a backwashing mode, the water flow is sprayed out from the spraying holes in the filter element frame by pressing the position of the lamination for compressing the inner cover and loosening the lamination, so that impurities are eluted from the lamination and discharged through the blow-down valve. In addition, a filter screen is arranged on the flow direction selector to intercept impurities of flushing water, and the filter screen can be flushed in a filtering mode. The utility model has the advantages of convenient use and simple structure.

The invention discloses a water level prediction method based on an improved intelligent algorithm, a readable storage medium and a device, and belongs to the technical field of water level prediction.The method comprises the steps that normalization preprocessing is conducted on original hydrological data of multi-source information, and an original water level sequence is obtained; performing VMD decomposition on the original water level sequence to decompose the original water level sequence into modal components; inputting the modal component into an LSTM model to construct a prediction model; and inputting an original water level sequence of recent multiple days into the prediction model, generating a predicted value of a future date based on an iteration mode, and restoring to obtain real water level data through reverse normalization processing. A computer program is stored in the readable storage medium, and the method is carried out when the computer program is executed. The apparatus includes a memory, a processor, and a terminal program stored in the memory and operable in the processor. Water level influence factors can be comprehensively considered, multiple variables are fused, the water level condition closer to the reality is obtained through analysis, and the water level prediction precision is improved.

The embodiment of the utility model discloses a purified water dispenser which comprises a water softening system, a water purifying system and a controller, a water inlet of the water softening system is used for receiving raw water, and a water outlet of the water softening system can output soft water; a water inlet of the water purification system is communicated with a water outlet of the water softening system, a water outlet of the water purification system is used for outputting purified water, the water purification system comprises a filtering system and a wastewater drainage pipeline, a water inlet of the filtering system is communicated with the water inlet of the water purification system, and a water outlet of the filtering system is communicated with the water outlet of the water purification system; a wastewater port of the filtering system is communicated with a wastewater drainage pipeline; the controller is connected with the soft water system and is connected with the wastewater drainage pipeline; when the water outlet of the water softening system outputs hard water, the controller is used for controlling the wastewater drainage pipeline to increase the wastewater discharge capacity so as to protect the filtering system, and the filter element can have the normal service life.

The invention relates to the technical field of water treatment, in particular to a prawn fry raw water biological filter treatment device. According to the technical scheme, the device comprises a pretreatment box, a disinfection box, an adjusting plate, a fine treatment box, a motor and a purification box, a screw is arranged at the output end of the motor, a nut in threaded installation with the screw is arranged at the upper end of the adjusting plate, the outer wall of the adjusting plate is sleeved with an air bag, an air pump is arranged at the upper end of the adjusting plate, and the air pump and the air bag are communicated and provided with an air supply pipe; a pressure relief valve is arranged in the air supply pipe, a disinfection box is arranged on one side of the lower portion of the fine treatment box, sealing gaskets are arranged on the inner wall of the fine treatment box and the outer wall of the purification box, overflow holes are formed in the side wall of the lower end of the purification box, and a filter material layer is arranged in the purification box. Through modular design, the efficiency and economical efficiency of prawn fry raw water treatment are remarkably improved, and the problems that a large-area biological filter cannot flexibly adjust the treatment capacity and is difficult to adapt to different scale requirements are solved.

The utility model provides a water purifier. The water purifier comprises a filter element assembly, a shell, a conductivity sensor and a turbidity sensor, the filter element assembly is arranged in the shell, and a filter cavity is formed between the filter element assembly and the shell; the shell is provided with a water inlet and a water outlet, the water inlet is communicated with the filter chamber, a filter inlet of the filter element assembly is communicated with the filter chamber, and a filter outlet of the filter element assembly is communicated with the water outlet; the conductivity sensor is arranged at the water inlet, the turbidity sensor is arranged on the shell or the filter element assembly, and the detection end of the turbidity sensor is used for detecting the quality of raw water in the filter cavity. According to the utility model, through dual monitoring of the conductivity sensor and the turbidity sensor, the attenuation slope is obtained by fitting conductivity and turbidity data, and the attenuation slope is compared with a filter element service life attenuation slope database, so that the service life of the filter element can be predicted more accurately.

The invention relates to the technical field of water quality monitoring, and discloses a sewage quality on-line monitoring method and system.The sewage quality on-line monitoring method comprises the steps that time alignment processing and data quality evaluation are conducted on original water quality sequences collected at all monitoring point positions, and aligned data and data quality weights are obtained; constructing a time delay space diagram; performing joint estimation on the global water quality state to obtain global state estimation and uncertainty; performing anomaly detection and identifying an abnormal propagation path and a suspected source to obtain an anomaly score and a source confidence sorting list; formulating a self-adaptive sampling strategy, and determining the sampling frequency of each monitoring point position; on the basis of the time-delay observation equation and weighted optimization, online joint estimation of the global water quality hidden state is achieved, reverse traceability is carried out by combining the residual standardization anomaly score and the time-delay space diagram, the anomaly can be found, the possible source and propagation direction of the anomaly can be located, and the pertinence and interpretability of disposal are improved.

The invention belongs to the technical field of deuterium water treatment, and particularly relates to a preparation method and system of deuterium-depleted water, which is based on combination of an MVR-EDI-air pump and realizes functions through a three-level architecture of pretreatment, gradient separation and deuterium recovery. Comprising a raw water input module, an EDI pure water pretreatment module, a multi-stage MVR evaporation module, a medical water integration module and a deuterium water concentration treatment module, and the raw water input module, the EDI pure water pretreatment module, a primary treatment module, secondary to N-stage treatment modules and the deuterium water concentration treatment module are connected into a whole. By combining filtering purification, low-temperature distillation and a power air energy pump, the production cost is greatly reduced, the deuterium content can be lower than 50 or 30 PPM and further can be lower than 5 PPM, and the water is suitable for medical treatment, aerospace and high-end laboratories; the multi-gradient low-deuterium water production enables deuterium resources to be recycled, and is high in production efficiency, free of wastewater discharge, low in energy consumption and energy-saving.

The invention provides an efficient softening and hardness-removing process for a high-hardness water body, which is applied to the technical field of water body purification. The efficient softening and hardness-removing process comprises a pretreatment mechanism, a softening reaction mechanism, a flocculent precipitation mechanism and a sludge closed-loop treatment mechanism which are sequentially connected along a water body treatment flow direction, the efficient softening and hardness-removing process for the high-hardness water body comprises the following raw water treatment steps: S1, treating raw water by virtue of the pretreatment mechanism, so as to obtain ultrafiltration effluent; and S2, the ultrafiltration effluent enters the softening reaction mechanism, and under the control of the electric cabinet control mechanism, chemicals are added for softening and flocculation reaction. The total hardness removal rate can reach more than 90% through accurate addition of the medicament, two-stage pH control and optimization of reaction conditions, which is far superior to that of a traditional resin ion exchange method, the influence of high-hardness water discharge on receiving water is reduced, ecological and health problems caused by excessive hardness of the water are avoided, and the harsh requirements of industrial production and environmental protection on soft water are met.

The invention belongs to the technical field of intelligent household appliances, and particularly relates to a control method and equipment of water purification equipment and a storage medium. The method comprises the steps that human physiological data of a target user is obtained through cloud equipment, the cloud equipment classifies the target user based on the human physiological data, and the cloud equipment determines a water purification scheme for the target user based on the classification of the target user and the human physiological data of the target user, the cloud equipment sends the water purification scheme to water purification equipment, and the water purification equipment adjusts the water purification equipment based on the water purification scheme and a raw water detection result; according to the method, the water quality of the water purification equipment is adjusted according to the intake requirements of different types of user groups on trace elements, the intelligence of the water purification equipment is improved, and the user experience is improved.

The invention discloses a cascade control method and system for the alum adding process of a waterworks. The cascade control method comprises the steps that preprocessed operation data of the waterworks are obtained; according to the preprocessed operation data, on the basis of a pre-trained LSTM-Transformer prediction model, an alum adding amount prediction value, an effluent turbidity prediction value and a sedimentation velocity prediction value at the current moment are obtained; segmenting the alumen ustum image based on an SAM algorithm, extracting features by adopting OpenCV, and calculating a settling velocity; based on feed-forward-feedback compound control, the feed-forward control adjusts the alum adding amount in time by monitoring the change of the quality of raw water, a main loop of cascade control predicts the water turbidity through MPC to calculate the optimal set value of the settling velocity, an auxiliary loop calculates the alum adding amount through the settling velocity, the feed-forward control and cascade control are subjected to decentralized summation, and the alum adding amount is calculated according to the optimal set value of the settling velocity. And calculating the final addition amount of the alum. According to the invention, the dosage of alum can be regulated and controlled more accurately.

This invention relates to the field of veterinary drug preparation, specifically to a separation and filtration device for veterinary drug preparation, comprising: a raw water tank, a water supply pump installed at the output end of the raw water tank, and a filtration unit installed at the output end of the water supply pump. Specifically, the filtration unit includes an outer shell and an inner filter membrane. The output end of the outer shell is connected to a return pipe, the other end of which is connected to the interior of the raw water tank. One end of the outer shell is connected to a discharge pipe for discharging the filtrate filtered by the filter membrane. The filter membrane has through-holes to allow the filterable liquid to pass through. A sealing plug, perpendicular to the through-holes, is installed above the outer shell to obstruct the passage of the liquid. A control mechanism is used to drive the sealing plug to rise and fall, controlling the pressure inside the filter membrane. This solution, by intermittently controlling the gap size and synchronously coordinating with changes in the power of the water supply pump, can ensure high-speed filtration while avoiding large particles clogging the filtration unit.

A granulation fluidized bed-bioreactor process combined system and method for treating wastewater and promoting sludge granulation, the system comprising: a first inlet end of a rapid stirring pool is communicated with sewage, a second inlet end of the rapid stirring pool is communicated with a PAC dosing barrel through a PAC dosing pump, outlet ends of the rapid stirring pool and the PAM dosing barrel are both communicated with a fluidized bed water inlet of a granulation fluidized bed, the granulation fluidized bed is provided with a reflux port at the top, and a fluidized bed water outlet is communicated with a bioreactor; sewage enters the rapid stirring pool, a PAC dosing barrel injects PAC reagent into the rapid stirring pool to destabilize raw water, the destabilized raw water flows into the granulation fluidized bed, mixes with PAM reagent injected into the granulation fluidized bed by a PAM dosing barrel, and realizes solid-liquid separation, supernatant of the granulation fluidized bed enters the bioreactor for reaction; carbon-rich products after separation are collected for carbon recovery; the two processes are combined to realize rapid granulation and stable operation under the condition of ensuring water quality.

The utility model provides a system for directly recycling wastewater of a medium-high pressure boiler. The system comprises a collecting and regulating tank, a heat exchanger, a coagulation clarifier, a multi-medium filter, an ultrafiltration system, a secondary reverse osmosis system, an EDI (Electronic Data Interchange) device, a mixed bed and a user high-purity water tank which are connected in sequence, the second-stage reverse osmosis system comprises a first-stage reverse osmosis system and a second-stage reverse osmosis system, the first-stage reverse osmosis system comprises a first-stage RO raw water tank, a precision filter and a first-stage RO device, effluent of the ultrafiltration system enters the first-stage RO raw water tank and then enters the precision filter to be filtered, and water produced by the precision filter is fed into the first-stage RO device; the second-stage reverse osmosis system comprises a second-stage RO raw water tank and a second-stage RO device, fresh water produced by the first-stage RO device is fed into the second-stage RO raw water tank and then enters the second-stage RO device, and fresh water produced by the second-stage RO device is fed into the EDI device to be treated. According to the utility model, a full-flow treatment system is developed aiming at the water quality condition of the wastewater of the medium-high pressure boiler, and the finished water can stably meet the water supply requirements of the medium-high pressure boiler.

The invention relates to an intelligent water purification method and system based on water quality analysis, and relates to the technical field of water treatment.The method comprises the steps that raw water detection turbidity and raw water unit flow are obtained; determining a basic flocculating agent dosage according to the detected turbidity of the raw water and the unit flow of the raw water, and adding a flocculating agent with the basic flocculating agent dosage into the reaction zone; obtaining a detection flocculation particle size and post-water detection turbidity in the reaction zone; constructing a historical interval, determining condition similar parameters of each time point in the historical interval according to the current raw water detection turbidity, the raw water unit flow and the detected flocculation particle size, defining the time point corresponding to the maximum condition similar parameter as a similar time point, and obtaining similar detection turbidity according to the similar time point; determining a detection deviation turbidity according to the post-water detection turbidity and the similar detection turbidity; and outputting a device abnormal signal when the detected deviation turbidity is not within the allowable deviation range. The water purification device has the function of improving the treatment effect of water purification operation.

The utility model discloses a central water treatment filtering device for desalted water production. A raw water inlet pipe of a reservoir is communicated with a water inlet pipeline of each filter; the ultrafiltration processors are connected in series; a water outlet of each filter is communicated with a water inlet pipeline of the first-stage ultrafiltration treater; a water outlet of the N-stage ultrafiltration treater is communicated with a water inlet pipeline of the filtered water storage tank; a water outlet of the filtered water storage tank is communicated with a water inlet pipeline of the primary reverse osmosis processor; all stages of reverse osmosis processors are connected in series, and water outlets of the N stages of reverse osmosis processors are communicated with a demineralized water storage tank pipeline. According to the device, the content of various pollutants in water entering the ultrafilter can be reduced, a filter element for ultrafiltration and reverse osmosis can be protected, the content of various impurity ions in the water after ultrafiltration is reduced, the conductivity of produced water is about 10 us / cm, the hardness is 0.01 mol / L or below, the produced water is used for supplementing water for a steelmaking and steel rolling heating furnace, and generated steam can be used for power generation of a steam turbine. Water consumption is reduced, resources are saved, and the accumulation speed of scale in the boiler is effectively reduced.

The invention discloses a water plant intelligent dosing control method based on a migration reinforcement learning algorithm, and particularly relates to the technical field of water plant intelligent dosing control, and the method comprises the steps: obtaining the operation data of a target water plant, unifying the operation data time axis, sequentially splicing the operation data at a plurality of adjacent moments according to a preset window length, and outputting a state sequence; and based on the operation data in the state sequence, establishing a calibration model by taking the clarification section effluent turbidity original reading and the raw water temperature as input characteristics and a manual measured value as a supervision target, and outputting the corrected clarification section effluent turbidity. An old plant dosing model is migrated to a target water plant, and dynamic evaluation and constraint correction are performed on clarification section turbidity, filtration section turbidity and converted dosing rate based on a reward function in an operation process, so that cycle-by-cycle reinforcement learning updating and optimization of a dosing strategy are realized.

The invention provides a water plant raw water and clear water lifting pump station joint optimization energy-saving dispatching method and system for solving the problems that traditional pump station dispatching depends on artificial experience, global optimization is lacked, and energy waste is serious. Comprising the steps that a flow-lift and flow-efficiency relation model is established, and a variable frequency pump deduces a performance formula under any frequency based on the similarity law; in the first-stage optimization scheduling, the optimal flow of a water intake pumping station and the optimal water storage level of a clean water tank in each time period are determined by adopting a dynamic programming algorithm and taking the minimum total work of the system as a target, and the conditions of flow balance, water level constraint and the like are met; and in the second-stage optimization scheduling, the genetic algorithm is adopted to optimize the combination and operation frequency of the water pumps in each time period by taking the minimum total power of the pump set as a target, and a flow and lift deviation penalty term is introduced. According to the method, water taking, water storage and water supply whole-process collaborative optimization is achieved, the energy saving rate exceeds 10%, the operation cost is reduced, the method adapts to dynamic changes of the water source tide level and the water demand, and the dispatching intelligent level is improved.

The invention discloses a sterilizer for aquaculture, and relates to the technical field of aquaculture. The device comprises an unmanned transportation disc, a disinfectant tank and a weighing device are fixedly installed at the top of the unmanned transportation disc, a weighing frame and a discharging valve are fixedly installed at the bottom of the disinfectant tank, the weighing frame is fixedly installed at the top of the weighing device, a mixing cabin is arranged in the unmanned transportation disc, and the discharging valve is fixedly installed at the bottom of the mixing cabin. The bottom end of the discharging valve extends into the mixing cabin, and pumping cabins are arranged on the two sides of the mixing cabin. According to the device, a disinfectant and raw water are mixed and finally flow into a water body through each external drainage pipe for disinfection, at the moment, two propeller assemblies stop running, and the unmanned transportation disc can be driven to rotate at the original position by the counter-acting force of the flow of the external drainage pipes arranged in a fan shape, so that the spraying range and uniformity of the disinfectant are improved, and the disinfection effect is improved. And then, the unmanned transportation disc is used for successively putting the disinfectant into each part of the water body, so that unmanned accurate putting and uniform putting are realized.